43 research outputs found
Evaluation of Rosenmuller Fossa with cone beam computed tomography: A retrospective radio-anatomical study
Background: Rosenmuller fossa (RF) is known as a lateral pharyngeal
recess, is bilaterally located beneath the skull base and behind the
torus tubarius. Nasopharyngeal carcinoma
is most commonly located in the RF. The purpose of this study is to evaluation of RF with cone
beam computed tomography Methods: A total of 150 subjects (80 females, 70 males, 6-88 years)
were included in the study. Subjects were divided into age groups (6-
20 years, 21-30 years, 31-40 years, 41-50 years, 51-60 years, over 60 years)
and
gender. Result: There is no statistically significant difference between class (RF type) and gender (p = 0.086). There is a statistically significant
association between the categories of age group and class variables
(p =
0.015). RF type 1 was more common in the 6-20 age and 21-30
age
groups, whereas RF type 3 was more common in the 41-50 age and 51-60 age groups. Conclusion: When the literature was investigated, it was not found a study evaluating RF with cone beam computed tomography. When considering clinical significance, RF should be searched and examined
in larger populations. KEYWORDS
Cone beam computed tomography, Rosenmuller
Fossa, Nasopharyngeal Carcinom
Derin öğrenme yöntemi ile panoramik radyografiden diş eksikliklerinin tespiti: Bir yapay zekâ pilot çalışması
Amaç: Bu çalışmanın amacı, panoramik radyografide diş
eksikliklerinin değerlendirilmesi için tasarlanmış tanı amaçlı bilgisayar
yazılımının işlevini geliştirmek ve değerlendirmektir.Gereç ve Yöntemler: Veri seti eksik diş tespiti için 99 tam diş ve 54 eksik diş olmak üzere
153 görüntüden oluşmaktadır. Tüm görüntüler Ağız, Diş ve Çene Radyolojisi
uzmanları tarafından tekrar kontrol edilmiş ve doğrulanmıştır. Veri setindeki
tüm görüntüler eğitim öncesinde 971 X 474 piksel olarak yeniden
boyutlandırılmıştır. Açık kaynak kodlu python programlama dili ve OpenCV,
NumPy, Pandas, ile Matplotlib kütüphaneleri etkin olarak kullanılarak bir
rastgele dizilim oluşturulmuştur. Önceden eğitilmiş bir Google Net Inception v3
CNN ağı ön işleme için kullanılmış ve veri setleri transfer öğrenimi
kullanılarak eğitilmiştir.Bulgular: Eğitim de kullanılan görüntülerin modeli tahminlendirmesi ile çıkan
başarı oranı % 94.7’dir. Eğitimde kullanılmayan test için ayrılan görüntülerin
tahminlemesindeki başarı oranı % 75’dir. Sonuç: Derin öğrenme tekniklerinde veri seti arttıkça başarı oranları da
artmaktadır. Daha fazla görüntüyle oluşacak veri setininin eğitim modellerinde
başarı oranları yükselecektir. Gelecek çalışmalar daha büyük veri setleriyle
yapılmalıdır.ANAHTAR KELİMELER
Panoramik radyografi, derin öğrenme, yapay
zek
Genomic surveillance during the first two years of the COVID-19 pandemic – country experience and lessons learned from Türkiye
BackgroundTürkiye confirmed its first case of SARS-CoV-2 on March 11, 2020, coinciding with the declaration of the global COVID-19 pandemic. Subsequently, Türkiye swiftly increased testing capacity and implemented genomic sequencing in 2020. This paper describes Türkiye’s journey of establishing genomic surveillance as a middle-income country with limited prior sequencing capacity and analyses sequencing data from the first two years of the pandemic. We highlight the achievements and challenges experienced and distill globally relevant lessons.MethodsWe tracked the evolution of the COVID-19 pandemic in Türkiye from December 2020 to February 2022 through a timeline and analysed epidemiological, vaccination, and testing data. To investigate the phylodynamic and phylogeographic aspects of SARS-CoV-2, we used Nextstrain to analyze 31,629 high-quality genomes sampled from seven regions nationwide.ResultsTürkiye’s epidemiological curve, mirroring global trends, featured four distinct waves, each coinciding with the emergence and spread of variants of concern (VOCs). Utilizing locally manufactured kits to expand testing capacity and introducing variant-specific quantitative reverse transcription polymerase chain reaction (RT-qPCR) tests developed in partnership with a private company was a strategic advantage in Türkiye, given the scarcity and fragmented global supply chain early in the pandemic. Türkiye contributed more than 86,000 genomic sequences to global databases by February 2022, ensuring that Turkish data was reflected globally. The synergy of variant-specific RT-qPCR kits and genomic sequencing enabled cost-effective monitoring of VOCs. However, data analysis was constrained by a weak sequencing sampling strategy and fragmented data management systems, limiting the application of sequencing data to guide the public health response. Phylodynamic analysis indicated that Türkiye’s geographical position as an international travel hub influenced both national and global transmission of each VOC despite travel restrictions.ConclusionThis paper provides valuable insights into the testing and genomic surveillance systems adopted by Türkiye during the COVID-19 pandemic, proposing important lessons for countries developing national systems. The findings underscore the need for robust testing and sampling strategies, streamlined sample referral, and integrated data management with metadata linkage and data quality crucial for impactful epidemiological analysis. We recommend developing national genomic surveillance strategies to guide sustainable and integrated expansion of capacities built for COVID-19 and to optimize the effective utilization of sequencing data for public health action
Evaluation of tooth development stages with deep learning-based artificial intelligence algorithm
Background: This study aims to evaluate the performance of a deep learning system for the evaluation of tooth development stages on images obtained from panoramic radiographs from child patients. Methods: The study collected a total of 1500 images obtained from panoramic radiographs from child patients between the ages of 5 and 14 years. YOLOv5, a convolutional neural network (CNN)-based object detection model, was used to automatically detect the calcification states of teeth. Images obtained from panoramic radiographs from child patients were trained and tested in the YOLOv5 algorithm. True-positive (TP), false-positive (FP), and false-negative (FN) ratios were calculated. A confusion matrix was used to evaluate the performance of the model. Results: Among the 146 test group images with 1022 labels, there were 828 TPs, 308 FPs, and 1 FN. The sensitivity, precision, and F1-score values of the detection model of the tooth stage development model were 0.99, 0.72, and 0.84, respectively. Conclusions: In conclusion, utilizing a deep learning-based approach for the detection of dental development on pediatric panoramic radiographs may facilitate a precise evaluation of the chronological correlation between tooth development stages and age. This can help clinicians make treatment decisions and aid dentists in finding more accurate treatment options
Graphene Oxide Nanosheets Interact and Interfere with SARS‐CoV‐2 Surface Proteins and Cell Receptors to Inhibit Infectivity
From Wiley via Jisc Publications RouterHistory: received 2021-03-13, pub-electronic 2021-05-14Article version: VoRPublication status: PublishedFunder: University of PaduaFunder: UKRI EPSRC; Grant(s): EP/P00119X/1Funder: Turkish Academy of Sciences (TUBA)Funder: Scientific and Technology Council of Turkey; Grant(s): 18AG020Funder: Türkiye Bilimler Akademisi; Id: http://dx.doi.org/10.13039/501100004412; Grant(s): GEBIP 2018Funder: Türkiye Bilimsel ve Teknolojik Araştirma Kurumu; Id: http://dx.doi.org/10.13039/501100004410; Grant(s): 18AG020Funder: Engineering and Physical Sciences Research Council; Id: http://dx.doi.org/10.13039/501100000266; Grant(s): EP/P00119X/1Abstract: Nanotechnology can offer a number of options against coronavirus disease 2019 (COVID‐19) acting both extracellularly and intracellularly to the host cells. Here, the aim is to explore graphene oxide (GO), the most studied 2D nanomaterial in biomedical applications, as a nanoscale platform for interaction with SARS‐CoV‐2. Molecular docking analyses of GO sheets on interaction with three different structures: SARS‐CoV‐2 viral spike (open state – 6VYB or closed state – 6VXX), ACE2 (1R42), and the ACE2‐bound spike complex (6M0J) are performed. GO shows high affinity for the surface of all three structures (6M0J, 6VYB and 6VXX). When binding affinities and involved bonding types are compared, GO interacts more strongly with the spike or ACE2, compared to 6M0J. Infection experiments using infectious viral particles from four different clades as classified by Global Initiative on Sharing all Influenza Data (GISAID), are performed for validation purposes. Thin, biological‐grade GO nanoscale (few hundred nanometers in lateral dimension) sheets are able to significantly reduce copies for three different viral clades. This data has demonstrated that GO sheets have the capacity to interact with SARS‐CoV‐2 surface components and disrupt infectivity even in the presence of any mutations on the viral spike. GO nanosheets are proposed to be further explored as a nanoscale platform for development of antiviral strategies against COVID‐19
MANDİBULA OSTEOSARKOMUNDA ULTRASONOGRAFİDE GÜNEŞ IŞINI GÖRÜNÜMÜ: NADİR BİR OLGU SUNUMU
Osteosarcoma comprises 23% of head and neck malignancies. Studies show that 6% to 9% of all osteosarcomas are seen inthe maxilla and mandible. In osteosarcoma in jaws, the survival rate is higher and the risk of metastasis is lower compared toosteosarcoma in the extremities. The gold standard in osteosarcoma diagnosis is computed tomography and magneticresonance imaging. ‘Sunray appearance’ is a common radiologic finding of sarcomas. A 29-year-old male patient received to ourclinic with pain and swelling in the right mandible. Extra-oral examination revealed that facial asymmetry and significantswelling in the right mandible. On the cone beam computerized tomography examination, a lytic, mixed lesion area wasobserved with conical shaped root resorption around the mandibular right second premolar and first molar tooth roots.Ultrasound examination revealed that thinning, expansion, and erosion of the buccal cortical bone and 'sunray appearance' inthe mandible. Cone beam computerized tomography and ultrasound have become an important diagnostic technique for theevaluation of maxillofacial pathologies. Ultrasound imaging is a rapid technique that aids in the early and differential diagnosisof pathologies. Sunray appearance is a pathognomic finding for osteosarcoma. In present case report, diagnosticultrasonography is the second case in the literature used in osteosarcoma of the mandible.Keywords: Cone beam computed tomography, jaw osteosarcoma, sunray, ultrasonography </p
Incidence of anomalous canals in the base of the skull: a retrospective radio-anatomical study using cone-beam computed tomography
Purpose Several skull-base foramina including foramen meningo-orbitale, craniopharyngeal canals, canaliculus innominatus, foramen vesalius, palatovaginal canals, and canalis basalis medianus are visible on cone-beam computed tomographs. A good understanding of the anatomical variants of these foramina is important to accurately diagnose fractures, understand the paths that infections may take, and identify associated anomalies. We used cone-beam computed tomography to measure the incidences of skull-base foramen variants in a normal population. Methods A total of 350 subjects (200 females, 150 males, 6-30 years of age) were included. The prevalences of foramen meningo-orbitale, craniopharyngeal canals, canaliculus innominatus, foramina vesalius, palatovaginal canals, and canalis basalis medianus were evaluated by age and gender. Results Subject age ranged from 6 to 30 years (mean age +/- SD = 15.1 +/- 4.08). Foramen meningo-orbitale, craniopharyngeal canals, canaliculus innominatus, foramen vesalius, palatovaginal canal, and canalis basalis medianus were observed in 51 (14.6%), 19 (5.4%), 60 (17.1%), 145 (41.1%), 34 (9.7%), and 15 (4.3%) patients, respectively. Conclusions Skull-base foramina are important clinically and radiologically. Imaging of such variants via cone-beam computed tomography is valuable for both physicians and patients. Few studies of skull-base foramina have used cone-beam computed tomography. Additional research is required for a fuller understanding of this phenomenon
SUNRAY APPEARANCE ON SONOGRAPHY IN OSTEOSARCOMA OF THE MANDIBLE: A RARE CASE REPORT
Osteosarcoma comprises 23% of head and neck malignancies. Studies show that 6% to 9% of all osteosarcomas are seen inthe maxilla and mandible. In osteosarcoma in jaws, the survival rate is higher and the risk of metastasis is lower compared toosteosarcoma in the extremities. The gold standard in osteosarcoma diagnosis is computed tomography and magneticresonance imaging. ‘Sunray appearance’ is a common radiologic finding of sarcomas. A 29-year-old male patient received to ourclinic with pain and swelling in the right mandible. Extra-oral examination revealed that facial asymmetry and significantswelling in the right mandible. On the cone beam computerized tomography examination, a lytic, mixed lesion area wasobserved with conical shaped root resorption around the mandibular right second premolar and first molar tooth roots.Ultrasound examination revealed that thinning, expansion, and erosion of the buccal cortical bone and 'sunray appearance' inthe mandible. Cone beam computerized tomography and ultrasound have become an important diagnostic technique for theevaluation of maxillofacial pathologies. Ultrasound imaging is a rapid technique that aids in the early and differential diagnosisof pathologies. Sunray appearance is a pathognomic finding for osteosarcoma. In present case report, diagnosticultrasonography is the second case in the literature used in osteosarcoma of the mandible.Keywords: Cone beam computed tomography, jaw osteosarcoma, sunray, ultrasonography </p